This article presents a simple, low-cost, and effective method for the early diagnosis of stator short-circuit faults. The approach relies on the combination of an induction motor mathematical model and parameter estimation algorithm. The kernel of the method is the efficient search for the characteristic parameters that indicate stator short-circuit faults. However, the non-linearity of a machine model may imply multiple local minima of an objective function implemented in the estimation algorithm. Taking this into consideration, the suitability of two industry-proven optimization algorithms (pattern search algorithm and genetic algorithm) as applied in the proposed condition monitoring method was investigated. Experimental results show that the proposed diagnosis method is capable of detecting stator short-circuit faults and estimating level and location of faults. The study also indicates that the proposed method is robust to motor parameters offset and unbalanced voltage supply. Application of the pattern search algorithm is suitable for a continuous monitoring system, where the previous result can be used as starting point of the new search. The genetic algorithm requires longer computation time and is suitable for the offline diagnostic system. It is not sensitive to the starting point, and achieving global solution is guaranteed.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms


    Beteiligte:


    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    53.33 / 53.33 Elektrische Maschinen und Antriebe



    Stator Winding-Fault Detection for the Induction Motor Drives

    Aguayo, J. / Claudio, A. / Vela, L.G. et al. | IEEE | 2006


    Artificial Intelligence Based Stator Winding Fault Estimation in Three Phase Induction Motor

    Subha, M. / Kumar, N. Senthil / Veni, K. S. Krishna | IEEE | 2018


    Condition Monitoring and Fault Diagnosis of Induction Motor in Electric Vehicle

    Gundewar, Swapnil K. / Kane, Prasad V. | Springer Verlag | 2021


    A stator current locus approach to induction machine parameter estimation

    Reed, David M. / Kan Zhou, / Hofmann, Heath F. et al. | IEEE | 2014